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AgentBrake vs Galileo
Galileo focuses on evaluation, monitoring and guardrail scoring of LLM output quality. AgentBrake focuses on one thing: stopping a runaway agent run before it spends more money.
AgentBrake vs Galileo at a glance
| AgentBrake | Galileo | |
|---|---|---|
| Stops a runaway run in real time | Yes — in-process, per run | No — evaluates & monitors |
| Records / traces runs | Basic live stats | Yes — its core strength |
| Identical-loop detection that halts | Yes | Observe only |
| Hard per-run cost ceiling that halts | Yes | Alerts, not stops |
| Free, source-available (FSL) | Yes | Varies |
| Setup | One line, no proxy | SDK / proxy / dashboard |
| Frameworks | LangChain 1.x & 0.x, CrewAI 1.x | Many |
Galileo is an LLM evaluation and observability platform. The two are complementary, not mutually exclusive — most teams keep their observability stack and add AgentBrake as the control layer that actually stops a run.
When to use which
Use Galileo to measure and improve output quality and catch hallucinations. Use AgentBrake as the runtime circuit breaker that caps cost, loops and duration per run. Quality tooling and a kill-switch solve different risks.
Stop your next runaway agent
One line of code. Open source. Works on LangChain 1.x, CrewAI 1.x, and the classic AgentExecutor.
$
Star on GitHub
pip install agentbrake-sdk
Frequently asked questions
- Is AgentBrake a guardrails tool?
- It's a runtime cost-and-loop guardrail — a circuit breaker. It doesn't score output quality; it stops a run from running away.
- Can I combine it with an eval platform?
- Yes. Evaluate quality with your eval platform; cap runaway cost and loops with AgentBrake.